Edinburgh Research Archive

The MATCH Corpus: A Corpus of Older and Younger Users' Interactions With Spoken Dialogue Systems.

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dc.contributor.author
Georgila, Kallirroi
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dc.contributor.author
Wolters, Maria K.
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dc.contributor.author
Moore, Johanna D.
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dc.contributor.author
Logie, Robert
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dc.date.accessioned
2010-10-28T12:59:58Z
dc.date.available
2010-10-28T12:59:58Z
dc.date.issued
2010-03
dc.date.updated
2010-10-28T12:59:58Z
dc.description.abstract
We present the MATCH corpus, a unique data set of 447 dialogues in which 26 older and 24 younger adults interact with nine different spoken dialogue systems. The systems varied in the number of options presented and the confirmation strategy used. The corpus also contains information about the users’ cognitive abilities and detailed usability assessments of each dialogue system. The corpus, which was collected using a Wizard-of-Oz methodology, has been fully transcribed and annotated with dialogue acts and ‘‘Information State Update’’ (ISU) representations of dialogue context. Dialogue act and ISU annotations were performed semi-automatically. In addition to describing the corpus collection and annotation, we present a quantitative analysis of the interaction behaviour of older and younger users and discuss further applications of the corpus. We expect that the corpus will provide a key resource for modelling older people’s interaction with spoken dialogue systems.
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dc.extent.pageNumbers
221-261
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dc.identifier.doi
10.1007/s10579-010-9118-8
dc.identifier.eIssn
1574-0218
dc.identifier.issn
1574-020X
dc.identifier.uri
http://www.springerlink.com/content/y7m81x424p322378/
dc.identifier.uri
http://hdl.handle.net/1842/4100
dc.language.iso
en
dc.publisher
Springer
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dc.subject
Spoken dialogue corpora
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dc.subject
Spoken dialogue systems
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dc.subject
Cognitive ageing
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dc.subject
Annotation
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dc.subject
Information states
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dc.subject
Speech acts
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dc.subject
User simulations
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dc.subject
Speech recognition
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dc.title
The MATCH Corpus: A Corpus of Older and Younger Users' Interactions With Spoken Dialogue Systems.
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dc.type
Article
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rps.issue
3
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rps.title
Language Resources and Evaluation
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rps.volume
44
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